Correlation Between Sea and Getty Realty

Can any of the company-specific risk be diversified away by investing in both Sea and Getty Realty at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Sea and Getty Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Sea and Getty Realty, you can compare the effects of market volatilities on Sea and Getty Realty and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Sea with a short position of Getty Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sea and Getty Realty.

Diversification Opportunities for Sea and Getty Realty

0.55

Correlation Coefficient

Sea  Getty Realty

Very weak diversification

The 3 months correlation between Sea and Getty is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Sea and Getty Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getty Realty and Sea is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Sea are associated (or correlated) with Getty Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Getty Realty has no effect on the direction of Sea i.e., Sea and Getty Realty go up and down completely randomly.

Pair Corralation between Sea and Getty Realty

Allowing for the 90-day total investment horizon Sea is expected to generate 2.41 times more return on investment than Getty Realty. However, Sea is 2.41 times more volatile than Getty Realty. It trades about 0.11 of its potential returns per unit of risk. Getty Realty is currently generating about 0.05 per unit of risk. If you would invest  10,872  in Sea on December 27, 2024 and sell it today you would earn a total of  2,055  from holding Sea or generate 18.9% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Sea  vs.  Getty Realty

Sea

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Sea are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Sea exhibited solid returns over the last few months and may actually be approaching a breakup point.

Getty Realty

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Getty Realty are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of fairly strong basic indicators, Getty Realty is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Sea and Getty Realty

The main advantage of trading using opposite Sea and Getty Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sea position performs unexpectedly, Getty Realty can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Getty Realty will offset losses from the drop in Getty Realty's long position.

The idea behind Sea and Getty Realty pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.